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Multiscale Bowel Sound Event Spotting in Highly Imbalanced Wearable Monitoring Data: Algorithm Development and Validation Study.

Annalisa BaronettoLuisa GrafSarah FischerMarkus Friedrich NeurathOliver Amft
Published in: JMIR AI (2024)
The EffUNet spotter is robust against background noise and can retrieve BSs with varying duration. EffUNet outperforms previous BS detection approaches in unmodified audio data, containing highly sparse BS events.
Keyphrases
  • electronic health record
  • big data
  • machine learning
  • deep learning
  • air pollution
  • artificial intelligence